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Vikram Nitin
Vikram Nitin
Verified email at columbia.edu
Title
Cited by
Cited by
Year
Composition-based Multi-Relational Graph Convolutional Networks
S Vashishth, S Sanyal, V Nitin, P Talukdar
International Conference on Learning Representations (ICLR), 2020, 2019
8042019
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs
N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar
Advances in Neural Information Processing Systems 32, 1511-1522, 2019
3772019
Interacte: Improving convolution-based knowledge graph embeddings by increasing feature interactions
S Vashishth, S Sanyal, V Nitin, N Agrawal, P Talukdar
Proceedings of the AAAI conference on artificial intelligence 34 (03), 3009-3016, 2020
3302020
Multitask Learning Strengthens Adversarial Robustness
C Mao, A Gupta, V Nitin, B Ray, S Song, J Yang, C Vondrick
Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020, 2020
852020
NHP: Neural Hypergraph Link Prediction
N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar
Proceedings of the 29th ACM International Conference on Information …, 2020
662020
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture
V Nitin, S Asthana, B Ray, R Krishna
37th IEEE/ACM International Conference on Automated Software Engineering, 1-12, 2022
92022
DIRECT: A Transformer-based Model for Decompiled Identifier Renaming
V Nitin, A Saieva, B Ray, G Kaiser
Proceedings of the 1st Workshop on Natural Language Processing for …, 2021
52021
SGD on Neural Networks learns Robust Features before Non-Robust
V Nitin
22020
Team AcYut Team Description Paper 2018
V Nitin, A Jain, S Srinivasan, A Bhat, D Pandya, A Ramachandran, ...
1*
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language
V Nitin, A Mulhern, S Arora, B Ray
arXiv preprint arXiv:2310.08507, 2023
2023
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